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academy

Ray tutorials from Anyscale

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

annotated-transformer

An annotated implementation of the Transformer paper.

auto-sklearn-talks

Presentations on Auto-sklearn

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

cd4ml-workshop

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

churn-prediction

Churn Prediction with Random Forests

companion-app

AI companions with memory: a lightweight stack to create and host your own AI companions

cs180

CS180 Lab Starter Code

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

exploratory-data-analysis-with-python-cookbook

Exploratory Data Analysis with Python Cookbook, published by Packt

free_python_tips

gpt-transformer

A simple implementation of a GPT-style Transformer architecture and inference.

h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

hands-on-exploratory-data-analysis-with-python

Hands-on Exploratory Data Analysis with Python, published by Packt

hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

haystack

:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, Falcon and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

large-language-models-and-chatgpt-in-three-weeks

Large Language Models and ChatGPT in Three Weeks

learndatascience

Open Content for self-directed learning in data science

lime

Lime: Explaining the predictions of any machine learning classifier

llama

Inference code for LLaMA models

loan-approval-prediction

Launch machine learning models into production using flask

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machinelearningcourse

A collection of notebooks of my Machine Learning class written in python 3